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A model approach to project the start of egg laying of Great Tit (Parus major L.) in response to climate change

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Abstract

The aim of this study was to select a phenological model that is able to calculate the beginning of egg laying of Great Tit (Parus major) for both current and future climate conditions. Four models (M1–M4) were optimised on long-term phenological observations from the Ecological Research Centre Schlüchtern (Hessen/Germany). Model M1 was a common thermal time model that accumulates growing degree days (GDD) on an optimised starting date t 1. Since egg laying of Great Tit is influenced not only by air temperature but also by photoperiod, model M1 was extended by a daylength term to give M2. The other two models, M3 and M4, correspond to M1 and M2, but t 1 was intentionally set to 1 January, in order to consider already rising temperatures at the beginning of the year. A comparison of the four models led to following results: model M1 had a relatively high root mean square error at verification (RMSEver) of more than 4 days and can be used only to calculate the start of egg laying for current climate conditions because of the relatively late starting date for GDD calculation. The model failed completely if the starting date was set to 1 January (M3). Consideration of a daylength term in models M2 and M4 improved the performance of both models strongly (RMSEver of only 3 days or less), increased the credibility of parameter estimation, and was a precondition to calculate reliable projections in the timing of egg laying in birds for the future. These results confirm that the start of egg laying of Great Tit is influenced not only by air temperature, but also by photoperiod. Although models M2 and M4 both provide comparably good results for current climate conditions, we recommend model M4–with a starting date of temperature accumulation on 1 January–for calculating possible future shifts in the commencement of egg laying. Our regional projections in the start of egg laying, based on five regional climate models (RCMs: REMO-UBA, ECHAM5-CLM, HadCM3-CLM, WETTREG-0, WETTREG-1, GHG emission scenario A1B), indicate that in the near future (2011–2040) no significant change will take place. However, in the mid- (2041–2070) and long-term (2071–2100) range the beginning of egg laying could be advanced significantly by up to 11 days on average of all five RCMs. This result corresponds to the already observed shift in the timing of egg laying by about 1 week, due mainly to an abrupt increase in air temperature at the end of the 1980s by 1.2 K between April and May. The use of five regional climate scenarios additionally allowed to estimate uncertainties among the RCMs.

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References

  • Askeyev OV, Sparks TH, Askeyev IV, Tishin DV, Tryjanowski P (2010) East versus West: contrasts in phenological patterns? Glob Ecol Biogeogr 19:783–793

    Article  Google Scholar 

  • Blümel K, Chmielewski F-M (2011) Climate change in Hessen—chances, risks, and costs for fruit growing and viniculture (in German). Annual Report, Faculty of Agriculture and Horticulture, Humboldt University of Berlin

  • Blümel K, Chmielewski F-M (2012) Shortcomings of classical phenological forcing models and a way to overcome them. Agric For Meteorol (in press)

  • Both C, Visser ME (2005) The effect of climate change on the correlation between avian life-history traits. Glob Chang Biol 11:1606–1613

    Article  Google Scholar 

  • Brown JL, Li S-H, Bhagabati N (1999) Long-term trend toward earlier breeding in an American bird: a resonse to global warming. Proc Natl Acad Sci USA 96:5565–5569

    Article  CAS  Google Scholar 

  • Cannell MGR, Smith RI (1983) Thermal time, chill days and prediction of budburst in Picea sitchensis. J Appl Ecol 20:951–963

    Article  Google Scholar 

  • Chambers LE, Keatley MR (2010) Australian bird phenology: a search for climate signals. Aust Ecol 35:969–979. doi:10.1111/j.1442-9993.2010.02108.x

    Article  Google Scholar 

  • Chmielewski F-M, Blümel K, Henniges Y, Blanke M, Weber RWS, Zoth M (2011) Phenological models for the beginning of apple blossom in Germany. Meteorol Z 20(5):487–498

    Article  Google Scholar 

  • Chuine (2003) Plant development models. In: Schwartz MD (ed) Phenology: An integrative environmental science. Kluwer, Dordrecht, pp 217–235

    Chapter  Google Scholar 

  • Coppack T, Pulido, F (2004) Photoperiodic response and the adaptability of avian life cycles to environmental change. Adv Ecol Res 35:131–150. doi:10.1016/S0065-2504(04)35007-5

  • Creswell W, McCleery R (2003) How great tits maintain synchronization of their hatch date with food supply in response to long term variability in temperature. J Anim Ecol 72:356–366

    Article  Google Scholar 

  • Crick HQP, Dudley C, Glue DE, Thomson DL (1997) UK birds are laying eggs earlier. Nature 338:526

    Article  Google Scholar 

  • Crick HQP, Sparks TH (1999) Climate change related to egg-laying trends. Nature 399:423–424

    Article  CAS  Google Scholar 

  • Dunn PO, Winkler DW (1999) Climate change has affected the breeding date of tree swallows throughout North America. Proc R Soc Lond B 266:2487–2490

    Article  Google Scholar 

  • Gordo O (2007) Why are bird migration dates shifting? A review of weather and climate effects on avian migratory phenology. Clim Res 35:37–58

    Article  Google Scholar 

  • Gosler A, Clement P (2007) Family Paridae (Tits and Chickadees). In: Del Hoyo J, Elliott A, Christie D (eds) Handbook of the birds of the World. vol 12: Picathartes to Tits and Chickadees. Lynx, Barcelona, pp 662–709

  • Grabherr G, Gottfried M, Pauli H (2002) Ökologische Effekte an den Grenzen des Lebens. Spektrum der Wissenschaft, Dossier Klima, pp 84–89

    Google Scholar 

  • Inouye DW, Barr B, Armitag KB, Inouye BD (2000) Climate change is affecting altitudinal migrants and hibernating species. Proc Natl Acad Sci USA 97:1630–1633

    Article  CAS  Google Scholar 

  • Jonzén N, Lindén A, Ergon T, Knudsen E, Vik JO, Rubolini D, Piacentini D, Brinch C, Spina F, Karlsson L, Stervander M, Andersson A, Waldenström J, Lehikoinen A, Edvardsen E, Solvang R, Stenseth NC (2006) Rapid Advance of Spring Arrival Dates in Long-Distance Migratory Birds. Science 312(5782):1959–1961

    Article  Google Scholar 

  • Kluijver HN (1951) The population ecology of the Great Tit Parus major L. Ardea 39:1–135

    Google Scholar 

  • Körner Ch, Basler D (2010) Phenology under global warming. Science 327:1461–1462

    Article  Google Scholar 

  • Koppmann-Rumpf B, Heberer C, Schmidt K-H (2003) Long term study of the reaction of the Edible Dormouse Glis glis (Rodentia: Gliridae) to climatic changes and its interactions with hole-breeding passerines. Acta Zool Hung 49(suppl 1):69–76

    Google Scholar 

  • Kreienkamp F, Spekat A, Enke W (2010) Ergebnisse eines regionalen Szenarienlaufs für Deutschland mit dem statistischen Modell WETTREG2010. Bericht, Climate & Environment Consulting, Potsdam, 48S

  • Matzneller P, Blümel K, Chmielewski F-M (2012) Chilling and forcing models improved by a daylength-term to predict the beginning of sour cherry blossom. Agric For Meteorol (in press)

  • McCleery RH, Perrins CM (1998) Temperature and egg-laying trends. Nature 391:30–31

    Article  CAS  Google Scholar 

  • Meijer T, Nienaber U, Langer U, Trillmich F (1999) Temperature and timing of egg laying of European starlings. Condor 101:124–132

    Article  Google Scholar 

  • Metropolis N, Rosenbluth AW, Rosenbluth MN, Teller AH, Teller E (1953) Equation of state calculations by fast computing machines. J Chem Phys 21(6):1087–1092

    Article  CAS  Google Scholar 

  • Perrins CM (2004) Die Kohlmeise. In: Perrins, CM (Ed.): Die BLV Enzyklopädie Vögel der Welt. BLV, Munich, pp 554–555

  • Robertson GW (1968) A biometeorological time scale for a cereal crop involving day and night temperatures and photoperiod. Int J Biometeorol 12:191–223

    Article  Google Scholar 

  • Rowan W (1926) On photoperiodism, reproductive periodicity, and the annual migrations of certain birds and fishes. Proc Boston Soc Nat Hist 38:147–189

    Google Scholar 

  • Press WH, Teukolsky SA, Vetterling WT, Flannery BP (1997) Numerical recipes in Fortran 77. The art of scientific computing, 2nd edn. Cambridge University Press, Cambridge, UK

  • Sanz JJ (2002) Climate change and breeding parameters of great and blue tits throughout the western Palaeararctic. Glob Chang Biol 8:409–422

    Article  Google Scholar 

  • Sanz JJ (2003) Large-scale effect of climate change on breeding parameters of pied flycatchers in Western Europe. Ecography 26:45–50

    Article  Google Scholar 

  • Schaper SV, Rueda C, Sharp PJ, Dawson AS, Visser ME (2011) Spring phenology does not affect timing of reproduction in the great tit (Parus major). J Exp Biol 214:3664–3671

    Article  Google Scholar 

  • Scheifinger H, Koch E, Winkler H (2007) Erste Ergebnisse einer Analyse vogelphänologischer Beobachtungen der Zentralanstalt für Meteorologie und Geodynamik 1951–1999 in Österreich. Promet 33:52–55

    Google Scholar 

  • Schmidt K-H (1984) Frühjahrstemperaturen und Legebeginn bei Meisen (Parus). J Ornithol 125:321–331

    Article  Google Scholar 

  • Schmidt K-H, Zub P (1993) Parus major Linnaeus 1758—Kohlmeise. In: GlutzvonBlotzheim UN, Bauer KM (eds) Mitteleuropas. Band 13 (4): Passeriformes. Aula, Wiesbaden, pp 678–808

    Google Scholar 

  • Sparks TH, Crick HQP, Dunn, PO, Sokolov LV (2003) Birds. In: Schwartz M (ed) Phenology: an integrative environmental science. Kluwer, Dordrecht, pp 421–436

  • Visser ME, Van Noordwijk AJ, Tinbergen JM, Lessells CM (1998) Warmer springs lead to mistimed reproduction in great tits (Parus major). Proc R Soc Lond Ser B Biol Sci 265:1867–1870

    Article  Google Scholar 

  • Visser ME, Hollemann LJM (2001) Warmer springs disrupt the synchrony of oak and winter moth phenology. Proc R Soc Lond Ser B Biol Sci 268:289–294

    Article  CAS  Google Scholar 

  • Wackernagel H (1998) Multivariate geostatistics. An introduction with applications. Springer, Berlin

    Google Scholar 

  • Winkel W, Hudde H (1997) Long-term trends in reproductive traits of tits (Parus major, P. caeruleus) and Pied Flycatchers (Ficedula hypoleuca). J Avian Biol 28:187–190

    Article  Google Scholar 

Download references

Acknowledgements

This research was funded by the Hessen State Office for Environment and Geology (HLUG) within the research initiative INKLIM-A. This was a cooperation between two project teams within this initiative. We thank the Hessen State Office for Environment and Geology for the individually awarded grants. We also thank the reviewers for their helpful advice.

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Correspondence to Frank-M. Chmielewski.

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Chmielewski, FM., Blümel, K., Scherbaum-Heberer, C. et al. A model approach to project the start of egg laying of Great Tit (Parus major L.) in response to climate change. Int J Biometeorol 57, 287–297 (2013). https://doi.org/10.1007/s00484-012-0553-7

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  • DOI: https://doi.org/10.1007/s00484-012-0553-7

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